Interpretation of a good overfitting score
It doesn't tell you very much, to be honest. It does mean that (assuming your training and validation distributions are similar) your model could get the same results on your validation set should you train on that, but that would still be overfitting.

Really, the only useful thing overfitting tells you is that you don't have enough regularisation.